Predicting failures and monitoring an industrial machine using a machine learning process and reference information

A non-transitory computer readable medium for monitoring an industrial machine, the non-transitory computer readable medium that stores instructions for:

• selecting a selected reference component for each component out of one or more components of the industrial system;
• the selecting provides one more selected reference components;
• wherein each selected reference component is selected out of multiple reference components;
• wherein for each component the selecting is based on similarities between the component and reference components of the multiple reference components;
• determining one or more learnt mappings between (i) sensed information related to the one or more components and (ii) predicted failures of the one or more components;
• wherein the learning is based, at least in part, on one or more reference mappings between (i) sensed information related to the one or more selected reference components and (ii) predicted failures of the one or more selected reference components;
• monitoring the one or more components to receive monitoring results;
• and
• evaluating the operation of the one or more components based on the monitoring results and the one or more reference mapping.